XLM-R
Reported on 4 benchmarks across 2 tasks · 2 papers
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing4 results
- weighted-F1 score· 2023-06-010.399best: 0.589 (SACL-XLMR)
- Accuracy· 2022-10-2361.13best: 85.7 (Ru-RoBERTa+TDA)
- MCC· 2022-10-230.13best: 0.594 (Ru-RoBERTa+TDA)
- MCC· 2022-10-230.52best: 0.683 (XLM-R + TDA)